Container Queries

CommunityPopular

thedaviddias

container-queries

Use when reviewing stylesheets, component styles, and responsive behavior related to Use container queries for component-level responsiveness. Check the rendered layout across breakpoints and interaction states before proposing a fix.

Overview

Publisher	thedaviddias
Repository	`Front-End-Checklist`
Skill name	`container-queries`
Stars	74.4K
Forks	6.8K
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by thedaviddias on GitHub. Read the source before you install it.

Installation

Install the Container Queries AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/thedaviddias/Front-End-Checklist/tree/main/skills/container-queries
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/thedaviddias/Front-End-Checklist.git /tmp/Front-End-Checklist
mkdir -p .claude/skills
cp -r /tmp/Front-End-Checklist/skills/container-queries .claude/skills/container-queries

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Container Queries in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Container Queries on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Container Queries is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Use container queries for component-level responsiveness

Media queries respond to viewport width, which makes components context-dependent — a card designed for a 3-column grid might break when placed in a 2-column grid or a sidebar. Container queries solve this: a card can layout itself based on how much space its container gives it, making the component genuinely reusable in any layout context.

Quick Reference

Container queries respond to the parent container's size, not the viewport
Set container-type: inline-size on the parent to enable container queries
Use @container rule to write styles that activate at container breakpoints
Container queries make components reusable in sidebars, grids, and full-width areas

Check

Look for components in this CSS that have media query breakpoints — consider whether container queries would make them more reusable in different layout contexts.

Fix

Convert this component from media query-based to container query-based responsiveness using container-type and @container.

Explain

Explain how container queries differ from media queries, why they enable better component reuse, and how to set up the container/query relationship.

Code Review

Review stylesheets, component styles, and responsive states related to Use container queries for component-level responsiveness. Flag exact selectors, declarations, or breakpoints that violate the rule in the rendered UI.

For full implementation details, code examples, and framework-specific guidance, see references/rule.md.

Rule page: https://frontendchecklist.io/rules/css/container-queries

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/rule.md3 KB

Frequently asked questions

What does the Container Queries AI skill do?

Why use Container Queries on TypingMind?

Because you install it once and use it with any model. Container Queries is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Container Queries in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thedaviddias/Front-End-Checklist/tree/main/skills/container-queries. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Container Queries?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Container Queries?

As many as you like. As long as a model supports skills, you can use Container Queries with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Container Queries AI skill free?

Yes. It is published on GitHub by thedaviddias under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Use container queries for component-level responsiveness

Quick Reference

Check

Fix

Explain

Code Review

Bundled files

Frequently asked questions

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